We present Large Scale Facial Model (LSFM) — a 3D
Morphable Model (3DMM) automatically constructed from
9,663 distinct facial identities. To the best of our knowledge
LSFM is the largest-scale Morphable Model ever constructed,
containing statistical information from a huge variety
of the human population. To build such a large model
we introduce a novel fully automated and robust Morphable
Model construction pipeline. The dataset that LSFM is
trained on includes rich demographic information about
each subject, allowing for the construction of not only a
global 3DMM but also models tailored for specific age,
gender or ethnicity groups. As an application example,
we utilise the proposed model to perform age classification
from 3D shape alone. Furthermore, we perform a systematic
analysis of the constructed 3DMMs that showcases
their quality and descriptive power. The presented extensive
qualitative and quantitative evaluations reveal that the proposed
3DMM achieves state-of-the-art results, outperforming
existing models by a large margin. Finally, for the benefit
of the research community, we make publicly available
the source code of the proposed automatic 3DMM construction
pipeline. In addition, the constructed global 3DMM
and a variety of bespoke models tailored by age, gender
and ethnicity are available on application to researchers
involved in medically oriented research.